Computing in the fractal cloud: modular generic solvers for SAT and Q-SAT variants

Denys Duchier; Jérôme Durand-Lose; Maxime Senot

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arXiv · 1105.3454

Computing in the fractal cloud: modular generic solvers for SAT and Q-SAT variants

Denys Duchier·Jérôme Durand-Lose·Maxime Senot

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Abstract

Abstract geometrical computation can solve hard combinatorial problems efficiently: we showed previously how Q-SAT can be solved in bounded space and time using instance-specific signal machines and fractal parallelization. In this article, we propose an approach for constructing a particular generic machine for the same task. This machine deploies the Map/Reduce paradigm over a fractal structure. Moreover our approach is modular: the machine is constructed by combining modules. In this manner, we can easily create generic machines for solving satifiability variants, such as SAT, #SAT, MAX-SAT.

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Denys Duchier, Jérôme Durand-Lose, Maxime Senot. 2011-05-17. Computing in the fractal cloud: modular generic solvers for SAT and Q-SAT variants. https://arxiv.org/abs/1105.3454

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